Using AI to improve radiotherapy planning for cervical and head and neck cancers
ARCHERY: Artificial Intelligence based Radiotherapy treatment planning for Cervical and Head and Neck cancer
This study is testing a new AI tool to make planning radiation treatment for cervical and head and neck cancers faster and easier, so patients can get the care they need more quickly, especially in places where resources are limited.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University College London NIH-funded |
| Lab location | 1 site (London, United Kingdom) |
| Project ID | NIH-10690469 on NIH RePORTER |
What this research studies
This research focuses on enhancing the efficiency and accuracy of radiotherapy planning for cervical and head and neck cancers using artificial intelligence (AI). The study aims to automate critical steps in the radiotherapy process, which currently involves labor-intensive tasks that can take weeks to complete. By implementing AI software, the goal is to reduce the planning time to less than a day, making treatment more accessible, especially in low and middle-income countries where resources are limited. The research will evaluate the quality and economic impact of this automated approach on a sample of 706 patients.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients diagnosed with cervical cancer or head and neck cancers, particularly those in low and middle-income countries.
Not a fit: Patients with cancers other than cervical or head and neck cancers may not receive benefits from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve access to timely and effective radiotherapy for patients with cervical and head and neck cancers.
How similar studies have performed: Other research has shown promising results in using AI for medical imaging and treatment planning, indicating potential success for this novel approach.
Where this research is happening
London, United Kingdom
- University College London — London, United Kingdom (Active)
Researchers
- Principal investigator: Aggarwal, Ajay — University College London
- Study coordinator: Aggarwal, Ajay
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.